CN118015811A - Intelligent land remote supervision method, system, device and medium thereof - Google Patents
Intelligent land remote supervision method, system, device and medium thereof Download PDFInfo
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Abstract
The application relates to the field of mobile data communication service, in particular to an intelligent land remote supervision method, system and device and a medium thereof. The method comprises the following steps: receiving monitoring information sent back by an off-line terminal; respectively carrying out preliminary judgment on all monitoring information; the preliminary judgment result of the preliminary judgment comprises normal information and abnormal information; all abnormal information is imported into an intelligent judgment analysis module to carry out secondary judgment through a preset algorithm; the secondary judgment result of the secondary judgment comprises misjudgment information and alarm information; all alarm information is exported and sent to an intelligent alarm disposal module supervision module; the early warning information comprises corresponding alarm information and area information corresponding to the alarm information; all misjudgment information is exported and imported into an intelligent interpretation analysis module; and the intelligent interpretation analysis module optimizes the preset algorithm according to the misinterpretation information. Effectively improves the supervision efficiency of the reserved land in each area.
Description
Technical Field
The application relates to the field of mobile data communication service, in particular to an intelligent land remote supervision method, system and device and a medium thereof.
Background
At present, a designated company needs to be entrusted to nurse and manage the reserved land, and the reserved land rights are prevented from being infringed.
Since the reserved land exists in a plurality of areas in the city, the areas need to be periodically patrolled and supervised by appointed personnel of a commission unit, and at present, as for the supervision of the multi-place to-be-managed and protected land in the city, part of the managed and protected land is original landform, vehicles and personnel cannot directly reach, so that monitoring blind areas are very easy to exist in the patrolling process, illegal actions such as disordered slag soil and shed building are difficult to discover in time, and the management and protection difficulty of the whole reserved land is very high and the supervision and supervision efficiency is low for the commissioned company; there is therefore a need to develop an intelligent supervision system that can remotely manage outdoor reserve land.
Disclosure of Invention
In order to improve the supervision efficiency of the reserved land of each area; the application provides an intelligent land remote supervision method, system, device and medium thereof.
In a first aspect, the application provides an intelligent land remote supervision method, which adopts the following technical scheme:
An intelligent land remote supervision method comprises the following steps:
Receiving monitoring information sent back by an off-line terminal;
respectively carrying out preliminary judgment on all monitoring information; the preliminary judgment result of the preliminary judgment comprises normal information and abnormal information;
All abnormal information is imported into an intelligent judgment analysis module to carry out secondary judgment through a preset algorithm; the secondary judgment result of the secondary judgment comprises misjudgment information and alarm information;
All alarm information is exported and early warning information is sent to an intelligent alarm disposal module; the early warning information comprises corresponding alarm information and area information corresponding to the alarm information;
All misjudgment information is exported and imported into an intelligent interpretation analysis module; and the intelligent interpretation analysis module optimizes the preset algorithm according to the misinterpretation information.
By adopting the technical scheme: installing terminals with monitoring functions in the areas of the reserved lands, respectively collecting and sending back monitoring pictures based on the real-time conditions of the reserved lands by the terminals, and performing preliminary judgment to finish preliminary screening of monitoring information; performing secondary judgment again on the monitoring information (namely, abnormal information) with the abnormality, so as to reduce the possibility of misjudgment; meanwhile, the management and protection of the reserved land can be conveniently realized, and remote management of a plurality of reserved lands in each area can be realized, so that the overall efficiency of managing and protecting reserved lands in each area is improved;
In addition, after the secondary judgment is carried out, misjudgment information is imported into the intelligent interpretation analysis module to optimize a preset algorithm for misjudged object information, so that misjudgment possibility of subsequent primary judgment and secondary judgment is reduced, accuracy of the secondary judgment is improved, and overall efficiency in managing and protecting reserved land in each area is further improved.
Optionally, the monitoring information includes a monitoring picture and a monitoring video; the step of receiving the monitoring information sent back by all the terminals further comprises the following steps:
Determining an alarm area from a monitored scene corresponding to the monitoring information;
Identifying whether an abnormal picture exists in the alarm area according to the identification in the alarm area corresponding to the monitoring information;
if yes, current monitoring information is sent to the intelligent interpretation analysis module (3);
if not, identifying the next monitoring information according to the preset sequence.
By adopting the technical scheme, as the area irradiated by the monitoring information collected by each terminal is not completely in the area of reserved land, an alarm area is determined in the monitoring information, and the information related to early warning can be triggered only when the alarm area is in an abnormal/abnormal picture; therefore, the accuracy of preliminary monitoring information acquisition can be improved, and the possibility of misjudgment is reduced.
Optionally, the step of determining the alarm area from the monitored scene corresponding to the monitoring information specifically includes the following steps:
Identifying a presence object within the monitoring information and deriving object information of the presence object; the existing objects include a driving road;
Analyzing the environmental attribute of the current monitoring information based on the object information in the monitoring information;
determining an alarm region of a closed loop based on the environmental attribute and the object information;
If the object information of the driving road exists in the monitoring information, determining at least two alarm areas in a monitored scene corresponding to the monitoring information; one alarm area is required to be arranged on one side of the driving highway and covers the position where the reserved land is located, and the other alarm area is required to be arranged on the other side of the driving highway; the distance between the two alarm areas in the monitored scene is equal to the height limit of the maximum bearing state of the large vehicle in the monitored scene.
By adopting the technical scheme, the automatic planning of the alarm area can be realized based on each building material and the environmental attribute thereof in the monitoring picture, so that the area where each reserve land is located is adapted to change the surrounding building material to update the range of the alarm area, and the convenience of determining the alarm area is improved;
On the other hand, two alarm areas can be arranged to monitor whether the carried content of the large vehicle passing through one side of the reserved land exceeds the limit height, if the large vehicle passes through the side of the reserved land, at least one alarm area can be triggered, so that a manager can remotely monitor whether the carried material of the superhigh vehicle falls into the reserved land or breaks the reserved land, and if so, the situation that the carried material of the superhigh vehicle falls into the reserved land or breaks the reserved land can be timely treated.
Optionally, the intelligent judgment analysis module also stores a misjudgment list of non-abnormal object information; the step of optimizing the preset algorithm by the intelligent interpretation analysis module according to the misinterpretation information specifically further comprises the following sub-steps:
acquiring the position information of the region corresponding to the misjudgment information;
acquiring history information of a corresponding area according to the position information;
comparing the history information with the misjudgment information to obtain an alarm object in the misjudgment information;
identifying based on the alarm object and deriving a corresponding identification result;
And importing the identification result into a misjudgment list.
By adopting the technical scheme, the newly derived misjudgment information and the history information are compared, and the difference position (namely the object information) of the misjudgment information and the history information is compared, so that the identification result corresponding to the alarm object is imported into the misjudgment list, the richness of the misjudgment object in the misjudgment list is increased, and the possibility of subsequent misjudgment is reduced.
Optionally, the preset algorithm includes the following steps:
acquiring any monitoring screenshot based on the abnormal information;
acquiring all object information in the monitoring screenshot;
Comparing all the object information with the object information in the misjudgment list, and judging the current abnormal information as misjudgment information if the object information in the monitoring screenshot is consistent with any object information in the misjudgment list; and if the object information in the monitoring screenshot is inconsistent with any object information in the misjudgment list, judging that the current abnormal information is alarm information.
Optionally, after the step of deriving all alarm information and sending the alarm information to the intelligent alarm handling module, the method further includes the following steps:
Receiving a detection report of alarm information; the detection report is sent out by the intelligent alarm processing module; the detection report comprises processing results of the alarm information, and the processing results are divided into false touch alarm and abnormal alarm; the false touch alarm comprises object information of a false touch object;
And importing the object information of the mistaken touch object into the mistaken report list.
Through adopting above-mentioned technical scheme, send the early warning information to intelligent alarm processing module on to the supervisor who corresponds in time handles the abnormal conditions in the corresponding region based on early warning information, after the supervisor handled the abnormal conditions, can send the detection report through intelligent alarm processing module, from this further optimize the judgement precision of intelligent interpretation analysis module, thereby reduce the possibility of misjudgement.
Optionally, the secondary judgment result of the secondary judgment further comprises a processed result; the preset algorithm further comprises the following steps:
starting to temporarily time a certain area after receiving monitoring information in the area;
the monitoring information received in the temporary timing period is preferentially compared with the abnormal object information in the latest alarm information;
if the monitoring information is different, starting to execute a preliminary judgment step on the newly received monitoring information;
if the monitored information is the same, stopping the judging step of the newly received monitored information.
By adopting the technical scheme, repeated judgment is not carried out on the early warning information caused by the same abnormal object in the period of temporary timing, so that the invalid judgment step of the intelligent judgment analysis module can be reduced.
In a second aspect, the application provides an intelligent land remote supervision system, which adopts the following technical scheme:
An intelligent land remote supervision system comprising:
The GIS resource management module is used for storing GIS data of an urban area where the reserved land is located;
the intelligent equipment management module is used for managing a plurality of off-line terminals; each off-line terminal is arranged at a designated position of each reserved land and is used for collecting and transmitting monitoring information in the corresponding land;
the intelligent interpretation analysis module is arranged in the central control room, and performs primary judgment and secondary judgment through a preset algorithm based on monitoring information sent by each off-line terminal; sending early warning information according to a secondary judgment result of the secondary judgment;
the intelligent alarm disposal module is used for receiving the early warning information and carrying out corresponding processing according to the received early warning information;
Management and protection personnel supervision module: the management and protection daily report of each management and protection person in the reserved land is used for collecting the position information of the management and protection person in the reserved land range of each area and receiving and storing the management and protection daily report of each management and protection person in the reserved land.
By adopting the technical scheme, the GIS data of each urban area is imported by the GIS resource management module to form a basic framework of the supervision system, so that the effective management and protection resources of each subsequent reserve land can be conveniently and integrally allocated; setting the installation position of each off-line terminal based on the GIS resource management module, and guiding the position information of each off-line terminal and the position information of the corresponding area into the intelligent equipment management module for centralized management after matching so as to remotely manage and protect the running state of each off-line terminal; when monitoring pictures acquired by each off-line terminal on each reserve land are sent back to the intelligent judgment analysis module, the real-time situation in each reserve land is primarily judged and secondarily judged; when the abnormal condition exists in a certain reserve land through the judging step, the intelligent interpretation analysis module sends early warning information to the intelligent alarm processing module; a supervisory person at the intelligent alarm processing module correspondingly processes the abnormal conditions in the early warning information;
in the management of the management personnel in each daily reserve land, the management personnel can be prevented from separating from the management area through the management personnel management module, so that the on-duty management efficiency of a large number of management personnel in each reserve land is improved.
In a third aspect, the present application provides a computer apparatus, which adopts the following technical scheme:
The computer device comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the intelligent land remote supervision method when executing the computer program.
By adopting the technical scheme, the computer device capable of implementing the intelligent land remote supervision method is provided.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
A computer-readable storage medium storing a computer program; the computer program, when executed by the processor, implements the intelligent land remote supervision method described above.
By adopting the technical scheme, the carrier of the computer program of the intelligent land remote supervision method is provided.
In summary, the application has at least the following beneficial technical effects:
1. Installing terminals with monitoring functions in the areas of the reserved lands, respectively collecting and sending back monitoring pictures based on the real-time conditions of the reserved lands by the terminals, and performing preliminary judgment to finish preliminary screening of monitoring information; performing secondary judgment on the abnormal information again, so that the possibility of misjudgment is reduced;
2. When monitoring pictures acquired by each off-line terminal on each reserve land are sent back to the intelligent judgment analysis module, the real-time situation in each reserve land is primarily judged and secondarily judged; when the abnormal condition exists in a certain reserve land through the judging step, the intelligent interpretation analysis module sends early warning information to the intelligent alarm processing module; and carrying out corresponding treatment on abnormal conditions in the early warning information by a supervisory person at the intelligent alarm processing module.
Drawings
FIG. 1 is a block diagram of the overall architecture of an intelligent land remote supervision system in an embodiment of the application;
FIG. 2 is a flow chart of a method for remotely supervising intelligent land according to an embodiment of the present application;
Fig. 3 is a schematic diagram of steps of an intelligent land remote management method according to an embodiment of the present application.
Reference numerals illustrate:
1. A GIS resource management module; 2. an intelligent device management module; 21. an off-line terminal; 3. an intelligent interpretation analysis module; 4. an intelligent alarm handling module; 5. and a management and protection personnel supervision module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings 1-3 and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The embodiment discloses an intelligent land remote supervision system.
Referring to fig. 1, the intelligent land remote supervision system comprises a GIS resource management module 1, an intelligent device management module 2, an intelligent interpretation analysis module 3, an intelligent alarm handling module 4 and a manager supervision module 5; wherein:
GIS resource management module 1 stores GIS data of urban area where reserve land is located; when conditions such as land disputes are met, the right information of the adjacent land parcels of the current land parcels can be checked, and the coordination solution of the related right units can be quickly contacted. The land property can be known, and a decision basis is provided for the later temporary utilization work; unmanned aerial vehicle image data in two different phases can be overlapped through a roller shutter tool of the platform, so that the change condition of each land block can be checked.
The intelligent device management module 2 is in communication connection with a plurality of off-line terminals 21, and is used for monitoring the running state of each off-line terminal 21, receiving the monitoring information collected by each off-line terminal 21 and forwarding the monitoring information to the intelligent interpretation analysis module 3; noteworthy are: each off-line terminal 21 is installed at a designated position of each reserved land, and is used for collecting monitoring information in the corresponding land and sending the monitoring information to the intelligent equipment management module 2; in this embodiment, the offline terminal 21 includes devices with camera shooting functions such as a cradle head and a thermal imaging camera, and a speaker device with a remote speaking function may be installed on one side of each offline terminal 21 in a matching manner.
The intelligent interpretation analysis module 3 is installed in a central control room where a supervisory person is located, and performs primary judgment and secondary judgment on the received monitoring information through a preset algorithm based on the monitoring information sent by each off-line terminal 21; finally, early warning information is sent according to a secondary judgment result of the secondary judgment;
the intelligent alarm disposal module 4 is used for receiving the early warning information and the daily report of management and protection, and carrying out corresponding preset treatment according to the received early warning information; the corresponding preset processing comprises the steps of sending the early warning information to corresponding supervisory personnel;
The management and protection personnel supervision module 5 is used for collecting the position information of management and protection personnel in the reserved land range of each area, and receiving and storing management and protection daily reports of each management and protection personnel in the reserved land; the management and protection personnel supervision module 5 is in communication connection with the intelligent alarm processing module.
In the daily management and protection process, management and protection personnel in each storage land need to punch cards/take pictures in a designated place, so that the management and protection personnel can check in place in the storage land; for the abnormal situation in the reserved land, the abnormal situation can be reported to the intelligent alarm processing module through the daily report of the management and protection.
Based on the same design concept, the embodiment also discloses an intelligent land remote supervision method.
Referring to fig. 2 and 3, an intelligent land remote supervision method includes the following steps:
s100: receiving monitoring information sent back by the offline terminal 21;
for example, the monitoring information includes a monitoring screen and a monitoring video in the present embodiment; monitoring information is sent back by the off-line terminals 21 installed on each reserve land; the off-line terminals 21 may send to the intelligent interpretation analysis module 3 in a monitor screen-by-screen manner, or may send to the intelligent interpretation analysis module 4 in a manner of capturing a part of the monitor video.
S200: and determining an alarm area from the monitored scene corresponding to the monitoring information.
Specifically, step S200 includes the substeps of:
s210: identifying a presence object within the monitoring information and deriving object information of the presence object;
For example, object information of the existing object can be acquired in the monitoring picture, and the existing object is identified to derive an identification result;
s220: analyzing the environmental attribute of the current monitoring information based on the object information in the monitoring information;
The environmental information of the current reserve can be further analyzed according to the identification result of each construct; for example, if the current reserve land is located at one side of a highway, and the object information of the identified existing objects includes residents, driving highways, street lamps, resident buildings and the like, judging that the environmental attribute of the current reserve land is an urban personnel area;
If the object information of the identified existing objects is vegetation, grasslands, trees and the like, judging that the environmental attribute of the current reserved land is an outdoor unmanned area.
S230: and planning a closed-loop alarm area based on the environmental attribute and the object information.
For example, an alarm area in a personnel area in an urban area needs to be excluded from an area through which personnel often pass, and an area into which personnel are not often entered/involved is circled into an alarm range, so as to form an alarm area;
And the outdoor unmanned area is defined as an alarm area as far as possible by the whole picture area of the monitoring picture.
It is worth further describing that if it is identified that the monitoring information includes object information of the driving road, at least two alarm areas are required to be determined in the monitored scene corresponding to the monitoring information; one of the alarm areas is required to be arranged on one side of a driving road and covers the position of the reserved land, and the other alarm area is required to be arranged on the other side of the driving road; the distance between the two alarm areas in the monitored scene is equal to the height limit of the large vehicle in the monitored scene, wherein the height limit is the highest in bearing state.
Specifically, no matter whether the environmental attribute is an urban personnel area/outdoor unmanned area, when object information such as a driving highway and the like which can be passed by a large-scale vehicle is identified in the corresponding monitoring information, at least two alarm areas are required to be defined in the corresponding monitoring information; one of the alarm areas needs to cover the original position of the reserved land, the other alarm area needs to be arranged at the height limiting position of the large-sized vehicle through monitoring, and the earthwork, the slag stone and the like borne by the large-sized vehicle passing by the large-sized vehicle are prevented from falling into the reserved land (namely the first alarm area) when passing through the reserved land.
It should be noted that, the present step S200 may be performed after the step S100, or may be performed before the step S100, and in this embodiment, the step S200 is performed after the step S100.
S300: identifying whether an abnormal picture exists in an alarm area in the monitoring information;
If yes, the current monitoring information is sent to the intelligent interpretation analysis module 3 to start executing the step S400;
if not, the next monitoring information is identified according to the preset sequence to start to execute step S300.
Specifically, the monitoring information received by the intelligent device management module 2 may pre-screen whether an abnormal object invades the alarm area in the current monitoring information (i.e. an abnormal picture), if yes, the corresponding monitoring information is forwarded to the intelligent interpretation analysis module 3 to start executing the step S400, otherwise, the current monitoring information is not processed, and the pre-screening step is started to be repeatedly executed.
S400: respectively carrying out preliminary judgment on all monitoring information;
Specifically, the preliminary judgment result of the preliminary judgment in the present embodiment includes normal information and abnormal information; the intelligent interpretation analysis module 3 is used for preliminarily analyzing whether the received monitoring information is analyzed or not; firstly, judging the current monitoring information as a monitoring video or a monitoring picture; it should be noted that, the intelligent interpretation analysis module 3 pre-stores a history image and a misjudgment list of the area where each reserve land is located, and the misjudgment list includes object information of a plurality of objects easy to misjudge, such as electric vehicles, tricycles, cars, motorcycles, local residents, names of various small animals, and the like, wherein the object information includes images, videos, names, sizes, and the like of each dimension of the objects.
If the abnormal object is the monitoring video, starting to acquire the abnormal object in the monitoring video and identifying the object information of the abnormal object; if there is a foreign object, start to execute step S500; if no abnormal body exists, completing the preliminary judgment step of the current monitoring information, and starting to execute the preliminary judgment step of the next monitoring information;
if the monitoring information is the monitoring picture, starting to acquire a history picture of the area where the monitoring information is located, comparing the history picture with the current monitoring picture, and judging whether the consistency of the two pictures is lower than a threshold value interval; if yes, start to execute step S500; if not, the preliminary judgment step S400 is started to be executed on the next monitoring information.
S500: all abnormal information is imported into an intelligent judgment analysis module to carry out secondary judgment through a preset algorithm;
Specifically, the secondary judgment result of the secondary judgment comprises misjudgment information and alarm information; the second judgment is started to be executed for the monitoring information of the abnormal body; the intelligent interpretation analysis module 3 further judges the abnormal body in the picture based on the preset algorithm and the misjudgment list for the primarily judged monitoring information.
Further, the preset algorithm in this embodiment includes the following steps:
S510: acquiring any monitoring screenshot based on the abnormal information;
s520: acquiring all object information in the monitoring screenshot;
S530: comparing all the object information with the object information in the misjudgment list, judging the current abnormal information as misjudgment information if the object information in the monitoring screenshot is consistent with any one of the object information in the misjudgment list, and starting to execute step S800; if the object information in the monitoring screenshot is inconsistent with any object information in the misjudgment list, judging that the current abnormal information is alarm information and starting to execute the step S600.
In a further optimization, the preset algorithm of the present embodiment may further include the following steps:
Noteworthy are: the secondary judgment result of the secondary judgment also comprises a processed result;
s540: starting to temporarily time a certain area after receiving monitoring information in the area;
S550: the monitoring information received in the temporarily timed period is preferentially compared with the abnormal object information in the newly received monitoring information and the latest alarm information;
if the monitoring information is different, starting to execute a preliminary judgment step on the newly received monitoring information;
if the monitored information is the same, stopping the judging step of the newly received monitored information.
S600: all alarm information is exported and early warning information is sent to an intelligent alarm processing module; the early warning information comprises corresponding alarm information and area information corresponding to the alarm information;
specifically, when the intelligent alarm processing module receives the early warning information, the intelligent alarm processing module comprises the following two processing methods:
And (one) offline processing: based on the region information, sending a field verification instruction to a manager in a corresponding region, wherein the field verification instruction can be in the form of a short message, APP pushing and the like; after the offline management personnel processes the site, the offline management personnel feeds back the corresponding processing result/processing process to the intelligent alarm processing module.
(II) on-line processing: by means of remote shouting off-line, sound amplifying equipment such as a loudspeaker and the like is installed near the off-line terminal 21, so that on-line supervisory personnel can carry out remote shouting warning; in addition, the actions of installing warning lights, automatically announcing warning banners and the like can be performed on-line remote processing, so that abnormal objects in the warning area can be expelled.
S700: and receiving a detection report of the alarm information.
Specifically, the detection report is issued by the intelligent alarm handling module 4; the detection report includes the processing result of the alarm information, and in this embodiment, the processing result is divided into false touch alarm and abnormal alarm; the false touch alarm comprises object information of a false touch object; object information of the mistaken touch object can be photographed/photographed and collected by field management personnel.
And then, the object information of the mistakenly touched object is imported into a mistaken report list.
S800: all misjudgment information is exported and imported into the intelligent interpretation analysis module 3; the intelligent interpretation analysis module 3 optimizes a preset algorithm according to the misinterpretation information.
Specifically, the specific optimization preset algorithm comprises the following sub-steps:
S810: acquiring position information of a region corresponding to the misjudgment information;
s820: acquiring history information of a corresponding area according to the position information;
S830: comparing the historical information with the misjudgment information to obtain an alarm object in the misjudgment information;
if the comparison result is that the consistency/similarity is within the threshold range, the step S810 is restarted to execute the next misjudgment information; if the comparison result is inconsistent/similar, the step S840 is started.
S840: identifying based on the alarm object and deriving a corresponding identification result;
S850: and importing the identification result into a misjudgment list.
The application also provides a computer readable storage medium storing instructions capable of implementing the above steps when loaded and executed by a processor.
The computer-readable storage medium includes, for example: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Based on the same inventive concept, an embodiment of the present application provides a computer apparatus including a memory and a processor, the memory storing a computer program capable of being loaded by the processor and executing the above method.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to perform all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.
In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk.
The foregoing embodiments are only used to describe the technical solution of the present application in detail, but the descriptions of the foregoing embodiments are only used to help understand the method and the core idea of the present application, and should not be construed as limiting the present application. Variations or alternatives, which are easily conceivable by those skilled in the art, are included in the scope of the present application.
Claims (10)
1. The intelligent land remote supervision method is characterized by comprising the following steps of:
Receiving monitoring information sent back by the off-line terminal (21);
respectively carrying out preliminary judgment on all monitoring information; the preliminary judgment result of the preliminary judgment comprises normal information and abnormal information;
All abnormal information is imported into an intelligent judgment analysis module to carry out secondary judgment through a preset algorithm; the secondary judgment result of the secondary judgment comprises misjudgment information and alarm information;
All alarm information is exported and sent to an intelligent alarm handling module (4); the early warning information comprises corresponding alarm information and area information corresponding to the alarm information;
All misjudgment information is exported and imported into the intelligent interpretation analysis module (3); and the intelligent interpretation analysis module (3) optimizes the preset algorithm according to the misinterpretation information.
2. The intelligent land remote supervision method according to claim 1, wherein the monitoring information includes a monitoring screen and a monitoring video; the step of receiving the monitoring information sent back by all the terminals further comprises the following steps:
Determining an alarm area from a monitored scene corresponding to the monitoring information;
Identifying whether an abnormal picture exists in the alarm area according to the identification in the alarm area corresponding to the monitoring information;
if yes, current monitoring information is sent to the intelligent interpretation analysis module (3);
if not, identifying the next monitoring information according to the preset sequence.
3. The intelligent land remote supervision method according to claim 2, wherein the step of determining an alarm area from the monitored scene corresponding to the monitoring information specifically comprises the steps of:
Identifying a presence object within the monitoring information and deriving object information of the presence object; the existing objects include a driving road;
Analyzing the environmental attribute of the current monitoring information based on the object information in the monitoring information;
determining an alarm region of a closed loop based on the environmental attribute and the object information;
If the object information of the driving road exists in the monitoring information, determining at least two alarm areas in a monitored scene corresponding to the monitoring information; one alarm area is required to be arranged on one side of the driving highway and covers the position where the reserved land is located, and the other alarm area is required to be arranged on the other side of the driving highway; the distance between the two alarm areas in the monitored scene is equal to the height limit of the maximum bearing state of the large vehicle in the monitored scene.
4. The intelligent land remote supervision method according to claim 2, wherein the intelligent judgment analysis module further stores a misjudgment list of non-abnormal object information; the step of optimizing the preset algorithm by the intelligent interpretation analysis module (3) according to the misinterpretation information specifically further comprises the following sub-steps:
acquiring the position information of the region corresponding to the misjudgment information;
acquiring history information of a corresponding area according to the position information;
comparing the history information with the misjudgment information to obtain an alarm object in the misjudgment information;
identifying based on the alarm object and deriving a corresponding identification result;
And importing the identification result into a misjudgment list.
5. The intelligent land remote supervision method according to claim 4, wherein the preset algorithm comprises the steps of:
acquiring any monitoring screenshot based on the abnormal information;
acquiring all object information in the monitoring screenshot;
Comparing all the object information with the object information in the misjudgment list, and judging the current abnormal information as misjudgment information if the object information in the monitoring screenshot is consistent with any object information in the misjudgment list; and if the object information in the monitoring screenshot is inconsistent with any object information in the misjudgment list, judging that the current abnormal information is alarm information.
6. The intelligent land remote supervision method according to claim 4, further comprising the following steps after the step of deriving all alarm information and sending pre-alarm information to the intelligent alarm handling module (4):
receiving a detection report of alarm information; -the detection report is issued by the intelligent alarm handling module (4); the detection report comprises processing results of the alarm information, and the processing results are divided into false touch alarm and abnormal alarm; the false touch alarm comprises object information of a false touch object;
And importing the object information of the mistaken touch object into the mistaken report list.
7. The intelligent land remote supervision method according to claim 4, wherein the secondary judgment result further comprises a processed result; the preset algorithm further comprises the following steps:
starting to temporarily time a certain area after receiving monitoring information in the area;
the monitoring information received in the temporary timing period is preferentially compared with the abnormal object information in the latest alarm information;
if the monitoring information is different, starting to execute a preliminary judgment step on the newly received monitoring information;
if the monitored information is the same, stopping the judging step of the newly received monitored information.
8. A system adapted for use in the intelligent land remote supervision method of any one of claims 1-7, comprising:
The GIS resource management module (1) stores GIS data of an urban area where the reserve land is located;
The intelligent equipment management module (2) is used for managing a plurality of off-line terminals (21); each off-line terminal (21) is arranged at a designated position of each reserved land and is used for collecting and transmitting monitoring information in the corresponding land;
the intelligent interpretation analysis module (3) is arranged in the central control room, and performs primary judgment and secondary judgment through a preset algorithm based on monitoring information sent by each off-line terminal (21); sending early warning information according to a secondary judgment result of the secondary judgment;
The intelligent alarm disposal module (4) is used for receiving the early warning information and carrying out corresponding processing according to the received early warning information;
Management and protection personnel supervision module (5): the intelligent alarm processing module (4) is connected with the intelligent alarm processing module and is used for collecting the position information of the management personnel in the reserved land range of each area, receiving and storing the management daily report of the management personnel in the reserved land, and then sending the position information and the daily report to the intelligent alarm processing module (4).
9. Computer device, characterized in that it comprises a processor, a memory and a computer program stored in said memory and executable on said processor, said processor implementing the intelligent land remote supervision method according to any one of claims 1-7 when executing said computer program.
10. A computer-readable storage medium, wherein the computer storage medium stores a computer program; the computer program, when executed by a processor, implements the intelligent land remote supervision method according to any one of claims 1 to 7.
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